电力系统保护与控制2024，Vol.52Issue(22)：129-142,14.DOI:10.19783/j.cnki.pspc.240400
基于保护电路运行状态增强识别的双馈风电场等值建模
Equivalent modeling of a DFIG farm based on enhanced recognition of protection circuit operating state
摘要
Abstract
During a grid side fault,the operating status of each unit protection circuit in DFIG-based wind farms is the main factor affecting the transient response characteristics of point of connection.It is difficult to express the operational status of the protection circuit of DFIG mathematically.Thus an equivalent modeling method of DFIG-based wind farms based on enhanced recognition of the protection circuit operating state is proposed.First,a core sample index is constructed to extract core samples according to the influence of samples on the model training process,and the core samples are trained and enhanced by a generative adversarial network(GAN).Then,the enhanced sample set is used to train a deep belief network(DBN)to construct the operational state recognition model of the DFIG-based wind turbine protection circuit.Finally,according to the recognition results and wind speed,the units in the DFIG-based wind farms are divided into groups,and the equivalent parameters of each group are calculated to establish the equivalent model of DFIG-based wind farms.Through comparative tests and index evaluation,the effectiveness of sample augmentation in improving model training and the accuracy of the equivalent model constructed using the proposed method are verified.关键词
直流卸荷保护/撬棒保护/核心样本/生成对抗网络/深度信念网络/两步分群Key words
chopper protection/crowbar protection/core sample/generative adversarial networks/deep belief networks/two-step clustering引用本文复制引用
蒋昊,许立雄,崔晓丹,吴家龙,李林秀..基于保护电路运行状态增强识别的双馈风电场等值建模[J].电力系统保护与控制,2024,52(22):129-142,14.基金项目
This work is supported by the Management Science and Technology Project of the Headquarters of State Grid Corporation of China(No.5108-202218280A-2-67-XG). 国家电网有限公司总部管理科技项目资助(5108-202218280A-2-67-XG) （No.5108-202218280A-2-67-XG）
